Julia Scheel

34 papers receiving 814 citations

Peers

Julia Scheel
Comparison fields: 5 of 86
  • Small Animals 191
  • Dermatology 146
  • Cancer Research 151
  • Chemical Health and Safety 8
  • Pharmaceutical Science 48
Replace Rodger Curren with:
Rodger Curren United States
David Basketter United Kingdom
Clive S. Roper United Kingdom
José Cotovio France
Freddy Van Goethem Belgium
Sean C. Gehen United States
Michael R. Woolhiser United States
Ingrid Gerner Germany
Claudine Faller Germany
Philippe Vanparys Belgium
Julia Scheel relative to Rodger Curren United States Rodger Curren's profile →
Citations per field
00.5×1.7×
Rodger Curren · 1×
Citations per year

Countries citing papers authored by Julia Scheel

Since Specialization
Citations

This map shows the geographic impact of Julia Scheel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia Scheel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Scheel more than expected).

Fields of papers citing papers by Julia Scheel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Scheel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia Scheel. The network helps show where Julia Scheel may publish in the future.

Co-authors

The 25 scholars most cited alongside Julia Scheel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Scheel Line = papers co-authored together Julia Scheel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201388
2 200977
3 201063
4 201155
5 200945
6 200945
7 201243
8 201042
9 202238
10 200036
11 201933
12 200931
13 200830
14 201030
15
Transcriptomics in predictive toxicology.
200227
16 200925
17 201223
18 200220
19 201220
20 201220

About Julia Scheel

Julia Scheel is a scholar working on Small Animals, Dermatology, Cancer Research, Pharmacology and Chemical Health and Safety, having authored 34 papers that have together received 879 indexed citations. Recurring topics across this work include Animal testing and alternatives (9 papers), Carcinogens and Genotoxicity Assessment (8 papers), Contact Dermatitis and Allergies (8 papers), Gene expression and cancer classification (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Nanoparticles: synthesis and applications (3 papers), Bone Tissue Engineering Materials (2 papers) and Chemical Safety and Risk Management (2 papers). The work is most often cited by research in Small Animals (191 citations), Dermatology (146 citations), Cancer Research (151 citations), Chemical Health and Safety (8 citations) and Pharmaceutical Science (48 citations). Julia Scheel has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Kerstin Reisinger, Nicola J. Hewitt, Carsten Goebel, Ulrike G. Schmidt, Matthias Redenbach, Matthias Krauledat, Joanna Rowland, Daisuke Araki, Eric K. Dufour and Jalila Hibatallah. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxicology in Vitro, Toxicological Sciences, Archives of Toxicology and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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